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Grounding Visual Explanations
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“In addition, Gatt and Krahmer make a distinction between ''objective'' (automatic, corpus-based) and ''subjective'' (human judgements) metrics [164].”
From A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence (2021) · cites this paper as [164]
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Metadata
- Authors
- Hendricks, L. A., Hu, R., Darrell, T., & Akata, Z.
- Affiliations
- University of California, Berkeley (US)
- University of Amsterdam (NL)
- Corresponding author
- Hendricks, Lisa Anne
- Venue
- Lecture notes in computer science
- Publisher
- Springer International Publishing
- Published
- 2018
- Pages
- 269-286
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2883512601
- Cited by
- 171
- References
- 36
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 19 · 2023: 19 · 2022: 20 · 2021: 38 · 2020: 34 · 2019: 30 · 2018: 3
- FWCI
- 10.72
- Type
- conference paper
- Language
- en
- Open access
- green
- handle.uba.uva.nl
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion, other-oa)
- arXiv (Cornell University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Defense Advanced Research Projects Agency
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Keywords
- counterfactual explanations, fine-grained classification, foil, sentence correction
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